The Gilbane Advisor

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AtScale adds enterprise AI capabilities to semantic layer platform 

AtScale, a provider of semantic layer solutions for modern business intelligence and data science teams, announced new product capabilities for organizations working to accelerate the deployment of enterprise artificial intelligence (AI). These new capabilities leverage AtScale’s position within the data stack with cloud data warehouse and lakehouse platforms including Google BigQuery, Microsoft Azure Synapse, Amazon Redshift, Snowflake, and Databricks. The AtScale Enterprise semantic layer platform now incorporates:

  • Semantic Predictions – Predictions generated by deployed AI/ML models can be written back to cloud data platforms through AtScale. These model-generated predictive statistics inherit semantic model intelligence, including dimensional consistency and discoverability. Predictions are immediately available for exploration by business users using BI tools (AtScale supports connectivity to Looker, PowerBI, Tableau, and Excel) and can be incorporated into augmented analytics resources.
  • Managed Features – AtScale creates a hub of centrally governed metrics and dimensional hierarchies that can be used to create a set of managed features for AI/ML models. AtScale managed features inherit semantic context, making them more discoverable and easier to work with. Managed features can now be served directly from AtScale, or through a feature store like FEAST, to train models in AutoML or other AI platforms.

https://www.atscale.com/product/ai-link/

Gilbane Advisor 9-28-22 — MLOps or no, Tabu search, practical NLP

This week we feature an article from Lak Lakshmanan.

Additional reading comes from Adam Langley, Fabio Chiusano, and Jing Huang, Mingang Fu, & Minghui Liu.

News comes from Apptek & expert.ai, Fivetran, Cloudflare, and Stardog & Databricks.

If you’ve missed any of the past 57 issues you can see them here; those, as well as all earlier issues can be found here.


Opinion / Analysis

No, you don’t need MLOps

Well you might. But either way Lak Lakshmanan provides lots to think, or re-think, about. (14 min).

MLOps started from a straightforward problem statement — that the technical debt associated with ML models becomes intolerable if the models are not adjusted over time to account for changes in the environment. Since that 2015 observation, ML models and frameworks have been built that make it relatively easy to avoid the most glaring potholes in the way of the ML practitioner. However, in the past year or so, the MLOps buzzword has taken on a life of its own. At this point, most things sold as MLOps are overkill and unnecessary for most teams.

https://lakshmanok.medium.com/no-you-dont-need-mlops-5e1ce9fdaa4b

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Stardog joins Databricks Partner Connect

The integration means organizations can add a unified semantic layer atop Databricks to accelerate data analytics for more data-informed decisions.
https://gilbane.com/2022/09/stardog-joins-databricks-partner-connect/

Fivetran introduces Metadata API

Customers can integrate with governance and observability tools to give data teams more control over who has access to what data.
https://gilbane.com/2022/09/fivetran-introduces-metadata-api/

Apptek and expert.ai announce strategic partnership

To help companies augment intelligent automation by extending AI-based text analytics to audio content, even across multiple languages.
https://gilbane.com/2022/09/apptek-and-expert-ai-announce-strategic-partnership/

Cloudflare launches Data Localization Suite in Asia

To help businesses comply with data localization obligations by using Cloudflare to set rules and controls on data storage ad access.
.https://gilbane.com/2022/09/cloudflare-launches-data-localization-suite-in-asia/

All content technology news


The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

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Veryfi offers free platform to transform documents into structured data

Veryfi launched a Free tier for its optical character recognition (OCR) application programming interface (API) platform. Companies looking to turn unstructured documents into structured data can quickly add AI-driven OCR capabilities to their apps without typical startup costs.

Developers can use their free account forever without fear of losing their work, without feature limitations, and without requiring a credit card. The only limit is the number of documents that developers can submit to the OCR API platform of 100 for the initial 14 days and then 50 per month. When ready, it’s easy to transition to a Starter account plan via self-service.

Veryfi enables organizations to capture, extract and transform documents such as receipts, invoices, purchase orders, checks, credit cards, and W-9 forms into structured data. Veryfi uses AI/ML technology, trained by hundreds of millions of documents over the past five years, to extract data and transform it into a structured format for 85 currencies, 39 languages, and over 110 defined fields such as vendor, total, bill to/ship to, purchase order and invoice numbers, any line item (product name, SKU, description), and taxes, which can then be accessed for other business applications.

https://www.veryfi.com

Apptek and expert.ai announce strategic partnership

AppTek and expert.ai announced they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The partnership leverages AppTek’s Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with expert.ai’s natural language understanding capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation.

As organizations increasingly utilize language data—emails, documents, reports and other free form text— for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The combined capabilities of AppTek and expert.ai supercharge enterprise and government NLU and NLP applications, expanding the data types and sources available for analysis to provide even more informational output.

Using AppTek’s speech-to-text technology within the expert.ai Platform, organizations can automatically transcribe audio types from different sources, including high-quality media broadcast content, podcasts, meetings, one-to-one interviews or even low bandwidth telephone conversations. In addition, they can leverage advanced multilingual functionalities to generate accurate, customizable and scalable translations across hundreds of language pairs.

https://www.apptek.com/https://www.expert.ai/

Stardog joins Databricks Partner Connect

Stardog, an Enterprise Knowledge Graph platform provider, today announced it had joined Databricks Partner Connect, which lets Databricks customers integrate with select partners directly from within their Databricks workspace. Stardog is the first Databricks partner to deliver a knowledge-graph-powered semantic layer. Now with just a few clicks, data analysts, data engineers, and data scientists can model, explore, access, and infer new insights for analytics, AI, and data fabric needs — an end-to-end user experience without the burden of moving or copying data. Together, Stardog’s availability on Databricks Partner Connect enables joint customers to:

  • Easily define and reuse relevant business concepts and relationships as a semantic data model meaningful to multiple use cases.
  • Link and query data in and outside of the Databricks Lakehouse Platform to provide just-in-time cross-domain analytics for richer insights.
  • Ask and answer questions across a diverse set of connected data domains to fuel new business insights without the need for specialized skills.

https://www.stardog.comhttps://www.databricks.com/partnerconnect

Cloudflare launches Data Localization Suite in Asia

Cloudflare, Inc. announced that Cloudflare’s Data Localization Suite (DLS) is now available in three new countries in the Asia Pacific region: Australia, India, and Japan. The Data Localization Suite will help businesses based in these countries, as well as global companies who do business in these countries, to comply with their data localization obligations by using Cloudflare to easily set rules and controls on where their domestic data goes and who has access to it. This ultimately allows any business with customers in these countries to service their data locally while benefiting from the speed, security, and scalability of Cloudflare’s global network.

Businesses in Australia, India, and Japan can use Cloudflare’s Data Localization Suite to:

  • Control where traffic is serviced: Companies can choose the data center locations where their traffic is inspected.
  • Build and deploy serverless code, with regional control: Build applications that allow developers to combine global performance with local compliance regulations.
  • Use Cloudflare’s security features to protect their web properties.
  • Align with global and regional security certifications: Businesses can trust that they are compliant with global privacy and security certifications like ISO 27001, 27701, and 27018.

https://www.cloudflare.com/data-localization/

Gilbane Advisor 9-21-22 — Emergence in LLMs, SVG

This week we feature articles from Ben Dickson and Kurt Cagle.

Additional reading comes from Jack FitzGerald, Ignacio de Gregorio, and the IAB.

News comes from Adobe & Figma, Progress, Acquia, and Santa Cruz Software.

If you’ve missed any of the past 56 issues you can see them here; those, as well as all earlier issues can be found here.


Opinion / Analysis

AI scientists are studying the “emergent” abilities of large language models

I was fascinated with emergent properties in grad school, and argued for their relevance and value when “big data” became a thing. It’s good to see a disciplined look at emergence in large language models. Ben Dickson’s useful summary of a new study includes helpful background links. (6 min).

https://bdtechtalks.com/2022/08/22/llm-emergent-abilities/

Imaging the web with Scalable Vector Graphics

Being a good data visualization artist does not necessarily require strong artistic skills, but it does depend upon understanding the tools and technologies that are out there. Scalable Vector Graphics (SVG) is becoming an essential technology in the data space, useful for building maps and charts that can work well on the web, creating detailed diagrams with rich metadata, and even laying the foundation for effective data presentations to clients or customers. SVG really is the foundation for intelligent graphics.

SVG has been around for a long time, but as Kurt Cagle points out in this excellent piece, it is still unknown to many and under-utilized. (11 min).

https://www.datasciencecentral.com/imaging-the-web-with-scalable-vector-graphics/

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Content technology news

Adobe to acquire Figma

Figma’s web-based, multi-player capabilities to accelerate the delivery and collaboration of Adobe’s Creative Cloud technologies on the web.
https://gilbane.com/2022/09/adobe-to-acquire-figma/

LinkrUI adds DAM syncing for Microsoft Office

LinkrUI for synchronizing digital assets stored in a DAM system now compatible for Microsoft Word, Microsoft Powerpoint and Microsoft Excel.
https://gilbane.com/2022/09/linkrui-adds-dam-syncing-for-microsoft-office/

Acquia adds new Channel Portals capabilities to Acquia DAM

Channel Portals allow businesses to create and share branded, secure, and up-to-date digital product catalogs with individual partners.
https://gilbane.com/2022/09/acquia-adds-new-channel-portals-capabilities-to-acquia-dam/

Progress updates developer tools

The new release of UI developer tools includes new components and enhancements for Blazor, .NET MAUI, Angular, React.
https://gilbane.com/2022/09/progress-updates-developer-tools/

All content technology news


The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

Subscribe | Feed | View online | Editorial policy | Privacy policy | Contact

Fivetran introduces Metadata API

Fivetran announced the availability of Fivetran’s Metadata API to enable the tracking of data “in-flight” from source to destination as it moves through Fivetran-managed pipelines. With this additional visibility, customers can integrate with governance and observability tools to give data teams more control over who has access to what data. Enabling automated data governance, the Fivetran Metadata API also provides data stewards, security teams and data engineering teams the needed visibility to answer where the data came from, who accessed it, and what changes have occurred in the pipeline. With the Fivetran Metadata API:

  • Data analysts are provided with a deep understanding of where data is coming from and are able to run impact analyses on it.
  • Data stewards know end users have access to data that has been handled securely and is compliant with governance requirements.
  • Security and legal teams can complete security audits and ensure the data moved is in compliance with organizational policies.
  • Data architects and engineers will soon be able to understand upstream schema changes and ensure downstream processes are updated.

Fivetran launched better metadata management with four data catalog vendors: Atlan, data.world, Alation and Collibra.

https://www.fivetran.com/blog/governing-data-movement-with-fivetran-metadata-api

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